内生空间回归与子市场划分:一个应用于住房市场的新框架

Endogenous Spatial Regression and Delineation of Submarkets: A New Framework with Application to Housing Markets

Journal of Applied Econometrics · 2015
被引 52
人大 AABS 3

中文导读

提出一个结合空间异质性和内生空间依赖的框架,通过聚类住房特征和特征价格函数来划分住房子市场,并以葡萄牙城市群为例验证了该方法能反映城市空间结构的历史与内生演化。

Abstract

Summary Housing submarkets have been defined by different criteria: (i) similarity in house attributes; (ii) similarity in hedonic prices; and (iii) substitutability of houses. We show that spatial clustering on (i) and (ii) also satisfies criterion (iii) and develop inferences based on functional linear regression of a hedonic house price model. Then, we delineate submarkets by clustering (jointly) on the surfaces of the estimated functional partial effects and housing features. The above model incorporates both spatial heterogeneity and endogenous spatial dependence. Application to an urban conglomeration in Portugal implies submarkets that emphasize the historical and endogenous evolution of urban spatial structure. Copyright © 2015 John Wiley & Sons, Ltd.

内生空间回归住房子市场特征价格模型空间聚类